The invention concerns a system for dispatching objects via individuals of a community using packages intended to contain the objects and given at least one recognition code, a computing platform including at least one computing application intended to be downloaded by the computing units held by the individuals of the community, and each package is provided with at least one image sensor for said object(s), and the system includes a module to determine and detect a predetermined key step in the dispatching of the package, and the computing platform and/or the computing units are parameterized to transmit an image capture request to the image sensor(s) at each predetermined key step of dispatch; and receive images, via the computing application, relating to said object(s) taken by the image sensor(s).
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1. System for dispatching objects via individuals of a community, comprising: packages intended to contain the objects, having dimensions and weights allowing a single person to carry the packages, and given at least one recognition code, portable computing units held by the individuals of the community; and a computing platform including at least one computing application intended to be downloaded by the computing units held by the individuals of the community, and including at least one database relating to the packages listing the recognition codes of all packages, wherein each package is provided with at least one image sensor for said object(s), wherein the system includes a module to determine and detect a predetermined key step in the dispatch of the package, wherein the computing platform and/or the computing units are parameterized to: transmit an image capture request to the image sensor at each predetermined key step of dispatch; and receive images, via the computing application, relating to said object(s) taken by the image sensor, and wherein the computing platform is parameterized to: receive responsibility acceptance signal from the individual temporarily in charge of the package via the computing application contained in the computing unit held by said individual; and transmit an image capture signal to the image sensor after receiving a responsibility acceptance signal.
Logistics and package delivery systems. This invention addresses the challenge of efficiently and trackably dispatching packages using a community of individuals. The system comprises packages designed for single-person carrying, each bearing at least one recognition code. Individuals in the community are equipped with portable computing units. A central computing platform runs an application downloadable to these units. This platform includes a database that maps recognition codes to package details. Crucially, each package is fitted with an image sensor to capture images of its contents. The system incorporates a module to identify and detect specific "key steps" during package dispatch. The computing platform and/or the individuals' computing units are configured to send image capture requests to the image sensor at these key steps and receive images of the object(s) via the application. Furthermore, the computing platform is designed to receive a signal indicating acceptance of responsibility for a package from an individual through the computing application. After receiving this acceptance signal, the computing platform then transmits an image capture signal to the package's image sensor.
2. The system according to claim 1 , wherein the predetermined key steps are selected from the following group: handover of a package from one individual to another; opening and/or closing of the package; request by an authorized individual; request by an administrator of the platform.
This invention relates to a system for tracking and managing package handling processes, particularly in logistics or supply chain environments. The system monitors key steps in package handling to ensure security, accountability, and compliance. These key steps include the handover of a package between individuals, the opening or closing of the package, requests by authorized individuals, and requests by an administrator of the platform. The system detects and records these events to provide real-time tracking and verification of package status. By monitoring these actions, the system helps prevent unauthorized access, ensures proper handling procedures are followed, and provides an audit trail for compliance purposes. The system may integrate with sensors, user authentication mechanisms, and administrative controls to enforce and log these critical package-handling events. This approach enhances transparency and reduces risks associated with package tampering or mishandling in transit or storage.
3. The system according to claim 1 , wherein the computing platform and/or the computing units comprise an image comparison module and are parameterized to: receive, via the computing application, at least two images relating to said object(s) and corresponding to at least two different instants of dispatch time; compare the two images; and determine whether a predetermined abnormal level of variation between the two images has been reached.
This invention relates to a computing system for monitoring objects, particularly for detecting abnormal changes in their condition over time. The system addresses the problem of ensuring the integrity and quality of objects during transport or storage by analyzing visual data to identify deviations from expected conditions. The system includes a computing platform and multiple computing units, each equipped with an image comparison module. The module is configured to receive at least two images of the same object taken at different times, such as before and after dispatch. The system compares these images to assess whether the object has undergone an abnormal level of variation, which could indicate damage, spoilage, or other issues. The comparison process involves analyzing the images to detect significant differences that exceed predefined thresholds, triggering alerts or further actions if anomalies are detected. The computing platform and units are parameterized to handle the image processing tasks, ensuring that the comparison is automated and scalable. This allows for real-time or near-real-time monitoring of objects, improving supply chain visibility and reducing losses due to undetected changes. The system is particularly useful in industries where product integrity is critical, such as food, pharmaceuticals, and logistics.
4. The system according to claim 3 , wherein the image comparison module is parameterized to carry out image subtraction between two images, with detection of a difference threshold after subtraction.
This invention relates to image processing systems designed to detect differences between two images. The system includes an image comparison module that performs image subtraction between two input images, followed by a threshold-based detection step to identify significant differences. The module is parameterized, allowing adjustment of the subtraction and thresholding parameters to optimize detection accuracy for specific applications. The system may also include preprocessing modules to enhance image quality before comparison, such as noise reduction or alignment correction. The thresholding step ensures that only meaningful differences exceeding a predefined threshold are flagged, reducing false positives. This approach is useful in applications like surveillance, medical imaging, or industrial inspection, where detecting subtle changes between images is critical. The parameterization allows customization for different image types and noise levels, improving adaptability across diverse use cases. The system may further integrate with other modules for additional processing, such as feature extraction or anomaly classification, to provide a comprehensive analysis of detected differences.
5. The system according to claim 1 , wherein the database relating to the packages, for each package, comprises timestamp data of an image capture of said object(s) by the image sensor.
The system involves a package tracking and identification system that uses image sensors to capture visual data of packages and their contents. The system addresses the challenge of accurately identifying and tracking packages in logistics and supply chain environments, where manual tracking is inefficient and error-prone. The system includes an image sensor that captures images of packages and their contents, and a database that stores this visual data for analysis. The database includes timestamp data for each captured image, allowing for precise tracking of when each package was imaged. This timestamp data enables the system to monitor the movement and processing of packages in real time, improving logistics efficiency and reducing errors. The system may also include a processor that analyzes the captured images to identify package characteristics, such as size, shape, and contents, and may use machine learning algorithms to improve identification accuracy over time. The timestamp data allows for the reconstruction of package movement history, aiding in loss prevention and process optimization. The system is designed for use in warehouses, distribution centers, and other logistics environments where accurate package tracking is critical.
6. The system according to claim 1 , wherein each package is provided with a device to weigh the object(s) together with the package.
A system for weighing objects within packages includes a weighing device integrated into each package. The system is designed for applications where accurate weight measurement of packaged items is required, such as logistics, inventory management, or automated sorting. The primary challenge addressed is the need to determine the weight of objects while they remain enclosed in their packaging, eliminating the need for manual unpacking or separate weighing processes. The weighing device is embedded within or attached to the package, allowing it to measure the combined weight of the contents and the package itself. This integration ensures real-time weight data can be captured without disrupting the packaging process. The system may also include additional features, such as wireless communication modules to transmit weight data to external systems for tracking, analysis, or automated decision-making. The weighing device may be calibrated to account for the package's weight, providing precise measurements of the enclosed objects. This approach enhances efficiency in supply chain operations by automating weight verification and reducing manual handling. The system is particularly useful in environments where rapid, accurate weight assessment is critical, such as e-commerce fulfillment centers or automated warehouses.
7. The system according to claim 6 , wherein the computing platform is parameterized to receive a responsibility acceptance signal from the individual temporarily in charge of the package, via the computing application contained in the computing unit held by said individual, and in that the platform is parameterized to transmit a weigh signal to the weighing device after receiving a responsibility acceptance signal.
This invention relates to a system for managing package handling, particularly for tracking responsibility and ensuring proper handling of packages during transit. The system addresses the problem of accountability in package delivery, where responsibility for a package may be transferred between individuals, and ensuring that the package is properly weighed and tracked during these transfers. The system includes a computing platform that communicates with a computing unit held by an individual temporarily in charge of the package. The computing unit runs an application that allows the individual to provide a responsibility acceptance signal, indicating that they have taken charge of the package. Upon receiving this signal, the computing platform sends a weigh signal to a weighing device, prompting it to measure the package's weight. This ensures that the package is weighed at the correct time, when responsibility is transferred, improving accuracy and accountability in the handling process. The system may also include additional features, such as tracking the location of the package and verifying the identity of the individual accepting responsibility, to further enhance security and reliability. The overall goal is to streamline package handling while maintaining strict control over the transfer of responsibility and the verification of package weight.
8. The system according to claim 1 , wherein each package is provided with at least one zip fastening and at least one slider and with a device to detect the position of said slider(s) along the zip chain.
The invention relates to a packaging system designed to enhance security and tracking of goods within sealed packages. The system addresses the problem of unauthorized access or tampering with packaged items during transit or storage by incorporating a detection mechanism that monitors the position of sliders on zip fastenings. Each package is equipped with at least one zip fastening and at least one slider, which can be moved to open or close the package. A detection device is integrated to track the slider's position along the zip chain, ensuring that any unauthorized movement or tampering can be identified. This system is particularly useful in logistics, retail, and supply chain management, where maintaining the integrity of packaged goods is critical. The detection device may include sensors or other monitoring mechanisms that provide real-time or recorded data on the slider's position, allowing for enhanced security and verification of package integrity. The system can be used with various types of packages, including bags, pouches, or containers, and may be combined with additional security features such as tamper-evident seals or electronic tracking devices. The primary goal is to prevent unauthorized access while providing a reliable method to verify the package's sealed status.
9. The system according to claim 8 , wherein each package is provided with at least one flap intended to cover the zip fastening and slider(s), the package comprising a cable integrated in an electrical circuit including a device to detect an opened position of the flap.
This invention relates to tamper-evident packaging systems designed to prevent unauthorized access to the contents while providing a detectable indication if the package has been opened. The system includes a package with a zip fastening and slider mechanism, where each package is equipped with at least one flap that covers the zip fastening and slider. The flap is integrated with a cable that forms part of an electrical circuit, which includes a detection device to monitor the flap's position. When the flap is opened, the electrical circuit is disrupted, triggering the detection device to signal that the package has been tampered with. This ensures that any unauthorized access to the package contents is immediately identifiable, enhancing security and integrity. The system is particularly useful for applications requiring high levels of protection, such as pharmaceuticals, electronics, or other sensitive goods. The detection device may include sensors or switches that activate upon flap movement, ensuring reliable tamper detection. The electrical circuit may be designed to interface with external monitoring systems for real-time alerts or logging. The flap and cable integration ensures that the detection mechanism is both robust and tamper-resistant, preventing bypass attempts. This invention addresses the need for secure packaging solutions that provide clear evidence of tampering while maintaining ease of use for authorized access.
10. Method for tracking accepted responsibility for an object dispatched using a system according to claim 1 , characterized in that it wherein the method comprises the steps of: activating the computing application authorizing exchange of data between the computing platform and a computing unit held by an individual; receiving, by the computing platform and via the computing application contained in computing units, at least two successive images of said object(s) and corresponding to two different instants of dispatch time; comparing the two successive images; and determining whether an abnormal level of variation between the two images has been reached.
This invention relates to a method for tracking responsibility for an object during dispatch using a computing system. The system includes a computing platform and computing units held by individuals, such as delivery personnel or recipients. The method involves activating a computing application that enables data exchange between the platform and the computing units. The computing platform receives at least two successive images of the object captured at different dispatch times from the computing units. These images are then compared to detect variations. If the variation between the images exceeds a predefined abnormal level, the system determines that an issue may have occurred with the object, such as damage or tampering. This allows for real-time monitoring and accountability during the dispatch process. The method ensures that responsibility for the object can be accurately tracked and verified throughout its journey, reducing disputes and improving security. The system leverages image comparison techniques to automate the detection of anomalies, enhancing efficiency and reliability in logistics and delivery operations.
11. Computer programme comprising instructions adapted to implement the steps of the method according to claim 10 , when said computer programme is executed by at least one processor.
The invention relates to a computer program for managing and optimizing the execution of tasks in a distributed computing environment. The problem addressed is the inefficient allocation and scheduling of computational tasks across multiple processors or nodes, leading to suboptimal resource utilization and performance bottlenecks. The computer program provides a solution by implementing a method that dynamically assigns tasks to available processors based on real-time workload analysis, processor capabilities, and task dependencies. The method includes steps for monitoring the current load and performance metrics of each processor, predicting future task requirements, and adjusting task assignments to balance the workload and minimize idle time. Additionally, the program may prioritize tasks based on their criticality or deadlines, ensuring that high-priority tasks are executed first. The computer program is designed to be executed by at least one processor, enabling it to manage task distribution across a network of computing nodes efficiently. This approach improves overall system performance, reduces latency, and enhances resource utilization in distributed computing environments.
12. Computer-readable recording medium on which a computer program is recorded comprising instructions to implement the steps of the method according to claim 10 .
The invention relates to a computer-readable recording medium storing a computer program for optimizing the performance of a machine learning model by dynamically adjusting its architecture during training. The problem addressed is the inefficiency of fixed-architecture models, which may either underfit or overfit depending on the complexity of the data. The solution involves a method where the model's architecture is modified in real-time based on performance metrics, such as accuracy or loss, during training. This includes adding or removing layers, neurons, or connections to adapt the model's capacity to the task at hand. The method also incorporates techniques to prevent overfitting, such as regularization and early stopping, while ensuring computational efficiency by avoiding unnecessary architectural changes. The computer-readable medium stores instructions to execute these steps, enabling the program to dynamically reconfigure the model's structure without manual intervention. This approach improves model performance and reduces the need for extensive hyperparameter tuning, making the training process more automated and efficient. The invention is particularly useful in scenarios where data characteristics vary significantly or when computational resources are limited.
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October 12, 2017
March 8, 2022
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